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Related Concept Videos

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
From DNA to Protein03:06

From DNA to Protein

The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
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Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: Jun 26, 2026

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

Codon-pair usage and genome evolution.

Fang-Ping Wang1, Hong Li

  • 1Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, China.

Gene
|January 23, 2009
PubMed
Summary
This summary is machine-generated.

Evolutionary constraints on codon-pair context were analyzed across 110 genomes. Findings reveal distinct patterns in protein-coding sequences (CDSs) and intergenic sequences (IGSs) that reflect genome evolution and phylogeny.

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Last Updated: Jun 26, 2026

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Area of Science:

  • Genomics
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Codon-pair context influences gene expression and protein evolution.
  • Understanding evolutionary constraints on DNA sequences is crucial for deciphering genome evolution.
  • Previous studies have explored sequence composition but not specifically codon-pair context across diverse genomes.

Purpose of the Study:

  • To investigate evolutionary constraints shaping codon-pair context in protein-coding sequences (CDSs) and intergenic sequences (IGSs).
  • To analyze the distribution of codon-pair modes (DNM) and base triplet frequencies across 110 genomes.
  • To determine if these distributions follow a gamma distribution and relate the shape parameter (alpha) to genome evolution.

Main Methods:

  • Analysis of codon-pair distributions (DNM) in CDSs and base triplet frequencies in IGSs from 110 sequenced genomes.
  • Modeling sequence distributions using a gamma distribution.
  • Studying the relationship between the gamma distribution's shape parameter (alpha) and evolutionary groups (Archaea, Bacteria, Eukaryota).

Main Results:

  • The distributions of DNM in CDSs and triplet pairs in IGSs are consistent with a gamma distribution.
  • The alpha value for CDSs increases in the order Archaea, Bacteria, Eukaryota, dividing species into these three groups.
  • The alpha value for IGSs classifies species into two groups: Bacteria and Archaea/Eukaryota.

Conclusions:

  • Codon-pair context acts as a significant determinant of species phylogeny.
  • Fundamental differences exist in evolutionary constraints between CDSs and IGSs across Archaea, Bacteria, and Eukaryota.
  • The study highlights the importance of sequence context in understanding genome evolution and inter-domain relationships.